Job Posting Title Manager, Data and AI AnalyticsBristol-Myers Squibb • Seattle, Washington, United States
Job Posting Title Manager, Data and AI Analytics
Bristol-Myers Squibb
- Seattle, Washington, United States
- Seattle, Washington, United States
About
The Manager, Data & AI Analytics Engineering is a hands‑on individual contributor responsible for designing, building, and delivering scalable data and AI‑driven analytics solutions supporting Global Patient Operations (GPO). This role plays a critical part in advancing the GPO Analytics Hub, enabling standardized, high‑quality data models, cross‑platform data integration, and AI/automation use cases to drive operational insights and decision‑making across patient operations, manufacturing logistics, scheduling, supply chain, and workforce analytics. Key Responsibilities
Collaborate with cross‑functional teams (SCLT, APH Ops, BI&T, Manufacturing, Supply Chain) to translate business needs into scalable data solutions Design, develop, and maintain scalable ETL pipelines and data models using SQL, Python, dbt, and Databricks (Medallion architecture – bronze/silver/gold) Build and optimize complex SQL transformation pipelines integrating data from SAP, Oracle, Salesforce, AWS Athena, PostgreSQL, and other enterprise systems Develop and maintain curated datasets and semantic models supporting the GPO Analytics Hub and enterprise reporting Design and optimize Power BI and Tableau datasets/dashboards to enable consistent KPI reporting and executive analytics Partner with analytics and business teams to standardize KPIs, definitions, and data logic across GPO Enable and support AI/automation initiatives, including predictive analytics, Copilot, and agent‑based solutions Develop data harmonization and reconciliation pipelines to unify cross‑system operational data Build reusable frameworks for ETL orchestration, API integration, automated validation, and operational alerting Implement data quality checks, monitoring, and production‑ready deployment strategies Optimize performance of large‑scale datasets across PostgreSQL, Impala/Cloudera, and Athena environments Support platform migration initiatives (e.g., Tableau to Power BI) and enterprise data standardization efforts Lead requirements gathering, UAT coordination, stakeholder reviews, and production rollouts Maintain documentation, metadata mapping, and data lineage to support governance and transparency Provide technical leadership, code reviews, and best practices guidance (no direct reports) Key Qualifications & Experience
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Analytics, or related field 8+ years of experience in data engineering or analytics engineering Strong hands‑on expertise in SQL and Python, with experience in large‑scale data environments Experience with Databricks, dbt, and cloud data platforms (AWS/Azure) Proven ability to design and optimize ETL pipelines, data models, and semantic layers Experience with Power BI and/or Tableau Understanding of AI/ML data workflows and integration requirements Experience in life sciences, pharmaceutical, or regulated environments Hands‑on experience with GenAI, LLMs, or agent‑based AI solutions Experience with Data Ops, CI/CD, and Git‑based development workflows Familiarity with Domino Data Lab or similar platforms Knowledge of data governance, metadata, and lineage frameworks Strong hands‑on technical expertise with end‑to‑end ownership Ability to translate business requirements into scalable data solutions Collaborative and proactive approach across cross‑functional teams Strong problem‑solving and system design skills Focus on data quality, consistency, and usability Compensation Overview (Seattle – WA)
$105,560 – $127,916 per year. Additional incentive cash and stock opportunities (based on eligibility) may be available. Benefits
Health Coverage: Medical, pharmacy, dental, and vision care Wellbeing Support: BMS Well‑Being Account, BMS Living Life Better, Employee Assistance Programs (EAP) Financial Well‑being and Protection: 401(k) plan, short‑ and long‑term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support Work‑life benefits: Paid Time Off, flexible time off, unlimited paid national holidays, paid volunteer days, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs, annual Global Shutdown EEO, Diversity & Data Privacy Statement
Bristol Myers Squibb is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, pregnancy, veteran status, disability, or any other protected characteristic. All applicants will be considered for employment on the basis of their qualifications and business needs. BMS does not collect or process applicant personal data for any purpose other than the recruitment process. No payments or financial information will be requested during the application or recruitment process.
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Languages
- English
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